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Simulation of semantics of phrases with attributive adjectives on the basis of the recursive multiagent cognitive architecture
News of the Kabardin-Balkar scientific center of RAS, no. 3 (2018), pp. 11-20 Cet article a éte moissonné depuis la source Math-Net.Ru

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The search for theoretical bases for modeling the semantics of attributive relations is an urgent task, the solution of which will contribute to the creation of a universal formal description of concepts and relations between them. The application of a formal approach based on neurocognitive architectures opens the prospect of investigating the possibilities of automatic ontologies construction on the basis of multi-agent self-organization. A hypothesis is proposed and a formal description of the neurocognitive architecture is developed, oriented on imitation modeling of the lingvosemantic function of understanding the word combinations of a nominal group on the basis of multiagent self-organization and interactive learning.
Keywords: multi-agent systems, artificial intelligence, cognitive architectures, speech understanding systems, natural language semantics formalization
Mots-clés : attributive relations. 
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Z. V. Nagoev; O. V. Nagoeva. Simulation of semantics of phrases with attributive adjectives on the basis of the recursive multiagent cognitive architecture. News of the Kabardin-Balkar scientific center of RAS, no. 3 (2018), pp. 11-20. http://geodesic.mathdoc.fr/item/IZKAB_2018_3_a1/

[1] N. I. Boitsova, Funktsionalno-semanticheskii analiz atributivnykh slovosochetanii tipa A+N (person) na materiale sovremennogo angliiskogo yazyka, avtoref. dis ... kand. filol. nauk, L., 1977, 20 pp.

[2] O. O. Varlamov, G. S. Sergushin, D. V. Eliseev, L. E. Adamova i dr, “O mivarnom podkhode k modelirovaniyu protsessov ponimaniya kompyuterami smysla tekstov, rechi i obrazov”, Avtomatizatsiya i upravlenie v tekhnicheskikh sistemakh, 2013, no. 2 (4), 4-80 http://auts.esrae.ru/

[3] Marvin Minski, Freimy dlya predstavleniya znanii, Energiya, M., 1979

[4] Z. V. Nagoev, Intellektika ili Myshlenie v zhivykh i iskusstvennykh sistemakh, Izd-vo KBNTs RAN, Nalchik, 2013, 211 pp.

[5] P. M. Ivanov, Z. V. Nagoev, “Avtomaticheskoe soprovozhdenie gruppy ob'ektov sistemoi obvolakivayuschego intellekta”, Perspektivnye sistemy i zadachi upravleniya, Materialy desyatoi vserossiiskoi nauchno-prakticheskoi konferentsii, Izd-vo YuFU, Taganrog, 2015

[6] T. R. Gruber, “Ontology”, Encyclopedia of database systems, eds. Liu Ling, Özsu M. Tamer, Springer-Verlag, 2009

[7] J. A. Fodor, Concepts: Where Cognitive Science Went Wrong., Oxford University Press, Oxford, New York, 1998, 174 pp.

[8] R. Jackendoff, What is a Concept?, Frames, Fields, and Contrasts. New Essays in Semantic and Lexical Organization., Lawrence Erlbaum Associates, Hove–London, 1992, 191–208

[9] https://books.google.ru/books?id=mvJGQFCr4PIC&pg=PR6&lpg=PR6&dq=ontology+based+on+soft+computing&source=bl&ots=nUJyoVjqdz&sig=qTd7GbHFyHcc_Sz-bwuwuDz7PCA&hl=ru&sa=X&ved=0ahUKEwj07eWrx9rbAhUJxaYKHYjhDmQQ6AEIVzAG#v=onepage&q=ontology

[10] https://disser.spbu.ru/files/disser2/disser/dobrov_dissert.pdf

[11] https://dic.academic.ru/dic.nsf/lingvistic/atributivnye

[12] http://dit.isuct.ru/IVT/BOOKS/Model/Model2/part4.html

[13] http://www.dslib.net/sravnit-jazykoved/atributivnye-slovosochetanija-v-russkom-i-anglijskom-jazykah.html

[14] https://ieeexplore.ieee.org/document/6965074/

[15] https://lat.inf.tu-dresden.de/research/papers/2016/BBLW-JAIR16.pdf

[16] https://pdfs.semanticscholar.org/8198/9605fba59a415a28603ce709566cc6ebc45c.pdf

[17] https://www.researchgate.net/publication/232637753_Rules_for_an_Ontology-based_Approach_to_Adaptation

[18] Z. Nagoev, L. Lutikova, I. Gurtueva, “Model for Automatic Speech recognition using multi-agent recursive cognitive architecture”, Biologically Inspired Cognitive Architectures, 2018

[19] Z. V. Nagoev, “Multiagent recursive cognitive architecture”, Biologically Inspired Cognitive Architectures 2012, Proceedings of the third annual meeting of the BICA Society, Advances in Intelligent Systems and Computing series, Springer, 2012, 247–248

[20] S. Nirenburg, V. Raskin, Ontological Semantics, MIT Press, Nirenburg–Cambridge, Mass., 2004, 56 pp.

[21] R. Schank, L. Birnbaum, J. Mey, “Integrating semantics and pragmatics”, Quaderni di Semantica, VI:2 (1985)